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A Multigrid Preconditioner for the Semiconductor Equations
Author(s) -
Juan Meza,
Raymond S. Tuminaro
Publication year - 1996
Publication title -
siam journal on scientific computing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.674
H-Index - 147
eISSN - 1095-7197
pISSN - 1064-8275
DOI - 10.1137/0917010
Subject(s) - preconditioner , cholesky decomposition , multigrid method , conjugate gradient method , discretization , mathematics , partial differential equation , relaxation (psychology) , poisson's equation , mathematical optimization , iterative method , mathematical analysis , eigenvalues and eigenvectors , social psychology , physics , quantum mechanics , psychology
A multigrid preconditioned conjugate gradient algorithm is introduced into a semiconductor device modeling code DANCIR. This code simulates a wide variety of semiconductor devices by numerically solving the drift-diffusion equations. The most time-consuming aspect of the simulation is the solution of three linear systems within each iteration of the Gummel method. The original version of DANCIR uses a conjugate gradient iteration preconditioned by an incomplete Cholesky factorization. In this paper, we consider the replacement of the Cholesky preconditioner by a multigrid preconditioner. To adapt the multigrid method to the drift-diffusion equations, interpolation, projection, and coarse grid discretization operators need to be developed. These operators must take into account a number of physical aspects that are present in typical devices: wide-scale variation in the partial differential equation (PDE) coefficients, small-scale phenomena such as contact points, and an oxide layer. Additionally, suitable...

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